Development and calibration of the Anisotropic Mesoscopic Simulation model for uninterrupted flow facilities

Yi Chang Chiu, Liang Zhou, Houbing Song

Research output: Contribution to journalArticlepeer-review

64 Scopus citations

Abstract

This paper presents the development, analysis, and calibration of the Anisotropic Mesoscopic Simulation (AMS) model for uninterrupted flow facilities, such as freeways. The proposed AMS model is a vehicle-based mesoscopic traffic simulation approach that explicitly considers the anisotropic property of traffic flow into the vehicle state update at each simulation step. The advantage of AMS is its ability to address a variety of uninterrupted flow conditions in a relatively simple, unified and computationally efficient manner. The discussions focus on the key modeling concepts, the analytical properties and numerical analysis, and the calibration process and results. The addressed analytical properties are the overtaking conditions, acceleration and deceleration rate bounds, and shockwaves. The numerical analysis includes both freeway segments as well as merging junctions. Considerable efforts were devoted to employ the Next-Generation Simulation (NGSIM) program datasets to calibrate the AMS model parameters. The high traffic fidelity and satisfactory computational efficiency make AMS a promising simulation approach for large-scale regional dynamic traffic simulation and assignment.

Original languageEnglish (US)
Pages (from-to)152-174
Number of pages23
JournalTransportation Research Part B: Methodological
Volume44
Issue number1
DOIs
StatePublished - Jan 2010
Externally publishedYes

Keywords

  • Anisotropic
  • Dynamic traffic assignment
  • Mesoscopic
  • Speed Influencing Region
  • Traffic simulation

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Transportation

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